AIMC Topic: Humans

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Deep-learning-based linac beam modelling with sparse beam data measurements.

Physics in medicine and biology
This paper introduces linac beam modelling network (LBMnet), a deep-learning-based approach for efficient linac beam modelling, generating percentage depth dose (PDD) and beam profiles by predicting beam data from sparse single-field measurements, th...

Magnetic soft actuator with self-sensing capability.

Journal of materials chemistry. B
Magnetic soft robots have shown great potential in biomedical engineering due to their non-contact actuation and rapid response. For intelligent control of magnetic soft robots, the integration of driving and sensing capability is crucial but still r...

EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2.

PLoS computational biology
Ubiquitination is critical in biomedical research. Predicting ubiquitination sites based on deep learning model have advanced the study of ubiquitination. However, traditional supervised model limits in the scenarios where labels are scarcity across ...

Spatio-temporal expansion patterns and influencing factors in China's new local retail industry: A case study of Luckin Coffee.

PloS one
with the increased penetration of the Internet, artificial intelligence, and other technologies, New Retail, an emerging commercial sector in cities, has gained significant momentum. As a new local retail brand in China, Luckin Coffee has actively ex...

An explainable and federated deep learning framework for skin cancer diagnosis.

PloS one
Skin cancer (SC) is the most prominent form of cancer in humans, with over 1 million new cases reported worldwide each year. Early identification of SC plays a crucial role in effective treatment. However, protecting patient data privacy is a major c...

The intelligent evaluation model of the English humanistic landscape in agricultural industrial parks by the SPEAKING model: From the perspective of fish-vegetable symbiosis in new agriculture.

PloS one
To more accurately capture the expression of the English humanistic landscape in agricultural industrial parks under the emerging agricultural paradigm of fish-vegetable symbiosis, and to address the limitations of unscientific evaluation standards a...

Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models.

PloS one
Electronic payment methods are increasingly prevalent worldwide, facilitating both in-person and online transactions. As credit card usage for online payments grows, fraud and payment defaults have also risen, resulting in significant financial losse...

A method for English paragraph grammar correction based on differential fusion of syntactic features.

PloS one
The new progress of deep learning and natural language processing technology has strongly promoted the development of English grammar error correction. However, the existing methods mostly rely on large-scale corpus, and often ignore the fine syntact...

Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator.

PloS one
BACKGROUND: Sepsis-associated delirium (SAD) occurs due to disruptions in neurotransmission linked to inflammatory responses from infections. It poses significant challenges in clinical management and is associated with poor outcomes. Survivors often...

Single-atom aptamer anchoring enables light-addressable multiplexed biosensing for early detection of pancreatic cancer.

Biosensors & bioelectronics
Pancreatic cancer remains one of the deadliest malignancies due to its silent progression and lack of early diagnostic tools. Here, we report a light-addressable photoelectrochemical (LAMT-PEC) biosensing system featuring single-atom Au-TiO photoelec...